• DocumentCode
    2041932
  • Title

    A study of the economic and operational impact of robust unit commitment

  • Author

    Jinye Zhao ; Tongxin Zheng ; Litvinov, E.

  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given: Unit commitment, one of the most critical tasks in electric power system operations, faces new challenges as the supply and demand uncertainty increases dramatically due to the integration of variable generation resources. To meet these challenges, we propose a two-stage adaptive robust unit commitment model and a practical solution method. We present a numerical study on the real-world large scale power system operated by the ISO New England. Computational results demonstrate the economic and operational advantages of our model over the traditional reserve adjustment approach. In particular, we find that by properly setting the level of conservatism in the uncertainty model, the adaptive robust model exhibits sizable savings on average dispatch cost, and significantly reduces the volatility of the dispatch cost, thus, improves the real-time reliability of the power system operation. The robust model also shows resilient performance under different probability distributions of uncertain load.
  • Keywords
    numerical analysis; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; probability; ISO New England; demand uncertainty; dispatch cost; economic impact; electric power system operations; numerical study; probability distributions; real-world large scale power system; realtime reliability; reserve adjustment approach; supply uncertainty; two-stage adaptive robust unit commitment model; uncertain load; variable generation resources; Adaptation models; Computational modeling; Economics; Load modeling; Numerical models; Power systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344680
  • Filename
    6344680